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2027 Internship - Analyst, Modeling and Simulation

  • Laurel, MD, United States

$22.6 to $47.95 USD / hour

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Job details

Pay
$22.6 to $47.95 USD / hour
Apply by
Working hours
40 hours per week
Posting language
English
Posted

Original job description

Description

Do you want to help develop the next generation of air combat systems and strike weapons?

Do you enjoy contributing to a collaborative team, solving technical challenges, and learning from leading engineers, scientists, and analysts?

If so, you should join the Air Combat and Strike Mission Analysis Group!

Our team is seeking interns to build models, run simulations, and analyze results to help evaluate the performance and military effectiveness of air combat systems and strike weapons. You will collaborate with a team of engineers and analysts who perform innovative research, modeling, and analysis that fuels decision-making across a range of military applications.

As an Analyst, Modeling and Simulation Intern, you will...

  • Work side-by-side with our analysts to build, validate, and refine physics-based models of aircraft, missiles, and sensors, implementing propulsion, aerodynamics, and guidance dynamics using AFSIM, C++, Python, and MATLAB
  • Apply AFSIM (Advanced Framework for Simulation, Integration, and Modeling) and other modeling and simulation tools to analyze air combat and precision strike missions in contested environments
  • Process real-world data sets, spot performance trends, define uncertainty bounds, and develop clear visualizations and reports that turn raw data into actionable insight
  • Prepare and communicate findings through briefs and presentations to multidisciplinary teams and leadership
  • Receive mentorship and participate in events within a culture of integrity, confidence, teamwork, and fun to grow professionally and prepare for a career in defense, aerospace, or related fields

Qualifications

You meet our minimum qualifications for the job if you...

  • Are pursuing a B.S., M.S., or Ph.D. in Engineering, Physics, Computer Science, Applied Mathematics, Operations Research, Statistics, or another related technical field
  • Can break down sophisticated technical challenges and deliver workable solutions
  • Understand programming basics and software development protocols
  • Can work collaboratively in groups and take ownership of independent tasks
  • Have a minimum 3.0 GPA on a 4.0 GPA scale (unofficial transcripts are acceptable)
  • Are a U.S. Citizen, can obtain an Interim Secret security clearance by your start date, and can ultimately obtain a Secret Level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information

You'll go above and beyond our minimum requirements if you...

  • Have experience with air or space systems, remote sensing and tracking, or high-performance simulations
  • Have familiarity with statistical analysis and modern software development practices (e.g., Git, CI/CD, version control)
  • Published relevant papers, conference presentations, or open-source contributions
  • Are proficient with MATLAB, Python, C++, AFSIM, or other DoD simulation frameworks
  • Have an Active Security Clearance

About Us

Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$22.60 Hourly

Maximum Rate

$47.95 Hourly

More about this job

Skills

  • Research
  • Decision making
  • C++
  • Python
  • The MathWorks MATLAB
  • Presentation skills
  • Leadership
  • Teamwork
  • Computer science
  • Statistics
  • Software development
  • Remote sensing techniques
  • Git
  • CI/CD

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